Evaluating the effects of climate change on the average yield of Iranian oranges with the spatial panel model approach

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Dehvari reza; Safdari Mahdi; Dadrasmoghadam Amir

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: CLIMATE CHANGE RESEARCH Year:2023 | Volume:4 | Issue:13 Page(s): 55-68

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Evaluating the effects of climate change on the average yield of Iranian oranges with the spatial panel model approach

Author(s)

Dehvari reza | Safdari Mahdi | Dadrasmoghadam Amir | Issue Writer Certificate

Keywords

spatial econometrics

orange

spatial spillover

climate change

Abstract

Climate change has had a significant impact on the global production of agricultural products. Studying the impact of climate change on the production of agricultural products is very important to take preventive decisions to improve agricultural production. The aim of the present study is to investigate the direct and indirect effects of spatial spillovers of climate change on orange production in 10 provinces of Iran, during the period from 2015 to 2019. The data used were obtained from the Ministry of Agriculture and the Meteorological Organization. First, to prove the existence of spatial dependence, Moran's test was performed. Then the spatial Durbin model was determined as the optimal model using the Wald test. The model was estimated using Stata17 software. The results of the spatial Durbin model (SDM) showed that the variables of average annual rain, average annual temperature and cultivated area have a positive and significant effect on the average yield oranges of Iran, while the variables of minimum annual temperature and maximum annual temperature have a negative effect on an average yield of oranges in Iran. In addition, the effect of spatial overflows of cultivated area and minimum annual temperature on orange yield is positive. Spatial overflows of average annual temperature have a negative effect of 1. 68 on orange yield. Increasing the area of orange cultivation in the country increases the yield of oranges per unit area, therefore, it is recommended that the Ministry of Agriculture use the policy of integrating orange orchards in the country.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans